A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator

M. Vahdat; L. Oneto; D. Anguita; M. Funk; M. Rauterberg

doi:10.1007/978-3-319-24258-3_26

A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator

M. Vahdat, L. Oneto, D. Anguita, M. Funk, M. Rauterberg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

26 Citations (Scopus)

3 Downloads (Pure)

Abstract

This paper presents a Learning Analytics approach for understanding the learning behavior of students while interacting with Technology Enhanced Learning tools. In this work we show that it is possible to gain insight into the learning processes of students from their interaction data. We base our study on data collected through six laboratory sessions where first-year students of Computer Engineering at the University of Genoa were using a digital electronics simulator. We exploit Process Mining methods to investigate and compare the learning processes of students. For this purpose, we measure the understandability of their process models through a complexity metric. Then we compare the various clusters of students based on their academic achievements. The results show that the measured complexity has positive correlation with the final grades of students and negative correlation with the difficulty of the laboratory sessions. Consequently, complexity of process models can be used as an indicator of variations of student learning paths.

Original language	English
Title of host publication	Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15–18, 2015 : Proceedings
Editors	G. Conole, T. Klobucar, C. Rensing, J. Konert, E. Lavoue
Place of Publication	Cham
Publisher	Springer
Pages	352-366
Number of pages	15
ISBN (Electronic)	978-3-319-24258-3
ISBN (Print)	9783319242576
DOIs	https://doi.org/10.1007/978-3-319-24258-3_26
Publication status	Published - 2015
Event	10th European Conference on Technology Enhanced Learning (EC-TEL 2015), September 15-18, 2015, Toledo, Spain - Toledo, Spain Duration: 15 Sep 2015 → 18 Sep 2015 http://ectel2015.httc.de/index.php?id=704

Publication series

Name	LNCS
Publisher	Springer
Volume	9307
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th European Conference on Technology Enhanced Learning (EC-TEL 2015), September 15-18, 2015, Toledo, Spain
Abbreviated title	EC-TEL 2015
Country	Spain
City	Toledo
Period	15/09/15 → 18/09/15
Other	"Design for Teaching and Learning in a Networked World"
Internet address	http://ectel2015.httc.de/index.php?id=704

Keywords

Complexity
Educational data mining
Educational simulator
Interaction data
Learning analytics
Process mining
Technology Enhanced Learning

Access to Document

10.1007/978-3-319-24258-3_26

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Vahdat, M., Oneto, L., Anguita, D., Funk, M., & Rauterberg, M. (2015). A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator. In G. Conole, T. Klobucar, C. Rensing, J. Konert, & E. Lavoue (Eds.), Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15–18, 2015 : Proceedings (pp. 352-366). (LNCS; Vol. 9307). Springer. https://doi.org/10.1007/978-3-319-24258-3_26

Vahdat, M. ; Oneto, L. ; Anguita, D. ; Funk, M. ; Rauterberg, M. / A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator. Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15–18, 2015 : Proceedings. editor / G. Conole ; T. Klobucar ; C. Rensing ; J. Konert ; E. Lavoue. Cham : Springer, 2015. pp. 352-366 (LNCS).

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abstract = "This paper presents a Learning Analytics approach for understanding the learning behavior of students while interacting with Technology Enhanced Learning tools. In this work we show that it is possible to gain insight into the learning processes of students from their interaction data. We base our study on data collected through six laboratory sessions where first-year students of Computer Engineering at the University of Genoa were using a digital electronics simulator. We exploit Process Mining methods to investigate and compare the learning processes of students. For this purpose, we measure the understandability of their process models through a complexity metric. Then we compare the various clusters of students based on their academic achievements. The results show that the measured complexity has positive correlation with the final grades of students and negative correlation with the difficulty of the laboratory sessions. Consequently, complexity of process models can be used as an indicator of variations of student learning paths.",

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Vahdat, M, Oneto, L, Anguita, D, Funk, M & Rauterberg, M 2015, A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator. in G Conole, T Klobucar, C Rensing, J Konert & E Lavoue (eds), Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15–18, 2015 : Proceedings. LNCS, vol. 9307, Springer, Cham, pp. 352-366, 10th European Conference on Technology Enhanced Learning (EC-TEL 2015), September 15-18, 2015, Toledo, Spain, Toledo, Spain, 15/09/15. https://doi.org/10.1007/978-3-319-24258-3_26

A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator. / Vahdat, M.; Oneto, L.; Anguita, D.; Funk, M.; Rauterberg, M.

Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15–18, 2015 : Proceedings. ed. / G. Conole; T. Klobucar; C. Rensing; J. Konert; E. Lavoue. Cham : Springer, 2015. p. 352-366 (LNCS; Vol. 9307).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Vahdat M, Oneto L, Anguita D, Funk M , Rauterberg M. A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator. In Conole G, Klobucar T, Rensing C, Konert J, Lavoue E, editors, Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15–18, 2015 : Proceedings. Cham: Springer. 2015. p. 352-366. (LNCS). https://doi.org/10.1007/978-3-319-24258-3_26